Full coverage of power station operation and maintenance scenarios
Artificial intelligence and big data models as underlying technical support, inverters, drones, and cameras as hardware support, and digital twin maps as support points
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Digital twin model
module level identity information binding and hierarchical control from region to module string then to modules.
IV data monitoring
Support the data connected to the inverter and visualize it in the system through the digital twin model.
UAV for EL detection
Use self-developed EL cameras and drones to take EL photos, and analyse the photos through AI models.
UAV for infrared detection
Take infrared photos and corresponding visible light photos by using drones, and analyze the photos by using AI models.
Test report
Output based on IV data and EL, infrared and visible light, supporting PDF and Excel formats.
Elimination
Real-time data exchange and navigation positioning between PC and mobile.
Data prediction
The big data model to predict the power generation situation and the health evolution history.
Work team
Support a multi-level account system of "headquarters-branch-employees".
Empowering photovoltaic power station operation and maintenance with AI, liberating productivity in multiple scenarios
Using AI to promote the upgrade of photovoltaic industry
Opt AI Cloud Ecology utilizes Opt's rich experience in manufacturing, mature AI architecture and algorithms to further enhance AI capabilities and make it more suitable for the usage scenarios of photovoltaic power stations. Through AI, it reduces the difficulty of power station management, module positioning, defect identification, data analysis, and greatly improves work efficiency.
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Module positioning
Module level localization has been achieved through AI algorithms, RTK, spatial localization.
Defect identification
We already have mature EL and infrared models, and currently EL and infrared can detect over 200 types of defects.
Data analysis
By using the digital twin model, to bind identity information, establish ledger, and manage the entire lifecycle of modules.
Power station management
Implement full lifecycle management of modules, predict health, perform fixed-point inspections, manage inverters, and other functions.
1:1simulation restoration, immersive management of power station data
IV data management of Opt AI Cloud Ecological photovoltaic power station
By constructing the digital twin model of photovoltaic power stations and connecting the inverter power, capacity, power generation, equivalent hours, and string current and voltage data transmitted back by the inverter, it is more convenient and accurate to monitor the operation of the power station, accurately detect low current and zero current strings, and achieve immersive management of the power station.
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Explore the real health status of modules
Opt AI cloud ecological photovoltaic power station detection solution
Most products on the market only detect infrared and visible light, with little or no EL detection. Can this method truly reflect the health status of modules? Based on the EL detection results, explore the health status of the modules and further clarify the reasons for abnormal power generation.
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The collision between defect elimination on-site and digitalization
Opt AI cloud ecological photovoltaic power station detection solution
Provide the positioning and direction of personnel to eliminate deficiencies.cooperate with the defect location on the map, to quickly find the defective modules, communicate with the cloud platform in real-time on the mobile end, and the operation and maintenance personnel conduct acceptance and confirmation based on the feedback of the defect elimination personnel, and implement the on-site situation of the defect elimination.
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About Opt AI Cloud Ecology
Make the operation and maintenance of photovoltaic power stations more efficient and safe
Opt AI cloud ecology makes the detection more intelligent, more college, more secure, through the digital twin and module level positioning, the power station management becomes more refined, and the module full life cycle management enables the power station to enter the digital 2.0 era.to make the operation and maintenance of photovoltaic power stations more efficient and safe is our vision, and to promote the advancement and development of new energy is our mission.we have been on the road all along.
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Promoting the advancement and development of new energy
Opt AI Cloud Ecology
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About
Optech
Shanghai Optech Science and Technology Co., LTD.
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Founded in 1999, Shanghai Optech Science and Technology Co., LTD. was formerly known as Shanghai Jiao Tong University Student Technology Venture Co., LTD. Since 2008, it has focused on the research and development, production and sales of automated inspection equipment in the photovoltaic industry, and gradually expanded to the field of artificial intelligence AI vision inspection system solutions. In July 2021, it was rated as a state-level specialized special "little giant" enterprise, and in December 2022, it was listed on the Beijing Stock Exchange.Shanghai Optech Science and Technology Co., LTD.
Honorary qualifications
Shanghai High tech Enterprise
Shanghai "Specialized, Refined, and New" Enterprise
Member of the Asia Photovoltaic Industry Association
National level specialized, refined, and innovative small giant enterprise
quality management system certification
The most influential certification/testing enterprise of the Solar Cup
Shanghai High tech Enterprise
Shanghai "Specialized, Refined, and New" Enterprise
Member of the Asia Photovoltaic Industry Association
National level specialized, refined, and innovative small giant enterprise
quality management system certification
The most influential certification/testing enterprise of the Solar Cup